|Publication number||US7599044 B2|
|Application number||US 11/165,958|
|Publication date||Oct 6, 2009|
|Filing date||Jun 23, 2005|
|Priority date||Jun 23, 2005|
|Also published as||US20060290921|
|Publication number||11165958, 165958, US 7599044 B2, US 7599044B2, US-B2-7599044, US7599044 B2, US7599044B2|
|Inventors||Steve P. Hotelling, Scott A. Brenneman|
|Original Assignee||Apple Inc.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (114), Non-Patent Citations (57), Referenced by (9), Classifications (11), Legal Events (4)|
|External Links: USPTO, USPTO Assignment, Espacenet|
1. Technical Field
The present invention relates generally to presence detection, and more specifically to a method and apparatus for remotely detecting a person's presence without requiring physical input by the person.
2. Background Art
Computing systems have grown in complexity, and thus in power consumption. Indeed, many electronic devices are remarkably more sophisticated than their counterparts from a decade ago, or even several years ago. As devices offer additional functionality, users have come to expect even more enhancements.
Generally speaking, such enhancements come at a price. First, power requirements for electronics may increase with complexity and function. Second, the increasing sophistication of consumer electronics may cause many potential purchasers to avoid too-complex products, fearing such products will prove difficult to use. Third, with increase in complexity and sophistication of electronic products comes an increased premium in the space available to incorporate additional features and designs. Space within a product may be extremely limited, and thus valuable.
Further, many electronic products operate on battery power. Enhancing the battery life may prove useful and desirable to consumers, as the product will more likely be available when the consumer desires its use. Thus, there is a need in the art for a method for improving battery life of an electronic product.
Improved operating experiences with electronic products may minimize a consumer's fear of a product's complexity. Enhanced user interfaces are one example of how to improve an operating experience. Yet another is personalization of a product, as is implementing a manner for a product to recognize a user's presence. Accordingly, there is a need in the art for recognizing a user's presence and accustoming the user to the activation of the product.
Additionally, the function of aesthetics in a purchaser's decision to choose one product over another should not be underestimated. Many consumers, when faced with two virtually identical products, will choose the “prettier” or better-looking product. Many consumers find smooth, uniform surfaces particularly attractive, especially in electronic products. With the proliferation of remote controls, windows or ports must be placed in products to receive a signal from the remote control. Similarly, many products (such as televisions, computer monitors, and even some remote controls) automatically adjust their brightness to account for a level of ambient light. Light sensors are required for such activities, and in turn require yet another port or opening in the surface of the electronic product. The inclusion of too many of these ports may detract from the overall look of the product, thus swaying a potential purchaser to buy a different, competing product. Accordingly, there is a need in the art for an apparatus that may combine the functions of several sensors in a single element.
That the present invention satisfies these needs will be apparent to one of ordinary skill in the art upon reading this disclosure.
Generally, one embodiment of the present invention takes the form of an apparatus for detecting a person's presence without requiring the person to provide auditory or tactile input. For example, an embodiment of the present invention may be incorporated into an electronic device, such as a desktop computer or notebook computer. The embodiment may employ a variety of radiation emissions to determine when a person enters the embodiment's field of detection and, in response to the person entering, activate the electronic device. This may prove particularly useful where, for example, the electronic device consumes significant power and/or may suffer deleterious effects if left active for too long. When used in a notebook or desktop computer, for example, the embodiment may minimize power consumption by permitting the notebook to sleep and yet provide convenience for a user by automatically waking the notebook as the user approaches. Not only does this eliminate any requirement for the user to tap a key, press a mouse button, or otherwise interact with the computer, but it may provide an enhanced user experience upon approaching the computer.
Another embodiment of the present invention includes a method for detecting a presence, comprising receiving a beam having an angle of reflection; determining from the angle of reflection if an object reflecting the beam is within a detection field; and in the event the object is within the detection field, activating a related device. The method may further include emitting the beam at an exit angle from an emitter, and/or receiving the beam at an entry angle at a detector. Additionally, the method may determine the angle of reflection from the exit angle and the entry angle. The method may determine the angle of reflection by adding the exit angle to the entry angle to yield a sum, and equating the angle of reflection to the sum. Further, the method may compare the angle of reflection to a minimum angle of reflection, and, in the event the angle of reflection at least one of equals or exceeds the minimum angle of reflection, determine the object is within the detection field.
Another embodiment of the present invention may take the form of an apparatus for detecting a presence, comprising an emitter operative to project a beam, a detector operative to receive the beam, and a logic operative to determine whether the beam is reflected from an object within a detection field associated with the emitter. In such an embodiment, the emitter may include a plurality of light-emitting diodes arranged in an emitter pattern, the detector may include a plurality of sensors arranged in a detector pattern complementary to the pattern of the emitter, and the detector may be operative to scan at least a first sensor upon actuation of one of the plurality of light-emitting diodes.
Additional features and advantages of the present invention will become apparent to those of ordinary skill in the art upon reading the entirety of the disclosure.
Generally, one embodiment of the present invention takes the form of an apparatus for detecting a person's presence without requiring the person to provide auditory or tactile input. For example, an embodiment of the present invention may be incorporated into an electronic device, such as a desktop computer or notebook computer. The embodiment may employ a variety of radiation emissions to determine when a person enters the embodiment's field of detection and, in response to the person entering, activate the electronic device. This may prove particularly useful where, for example, the electronic device consumes significant power and/or may suffer deleterious effects if left active for too long. When used in a notebook or desktop computer, for example, the embodiment may minimize power consumption by permitting the notebook to sleep and yet provide convenience for a user by automatically waking the notebook as the user approaches. Not only does this eliminate any requirement for the user to tap a key, press a mouse button, or otherwise interact with the computer.
An approaching entity generally constitutes a “presence.” Embodiments of the present invention are configured to detect a presence and ignore nearby, stationary objects.
The infrared beams 120 projected by the emitter 110 define a volume of sensitivity, referred to herein as a “detection field” 122. The exact dimensions of the detection field are determined by the radiation emitted and configuration of the emitter, and thus may vary between embodiments. One particular embodiment 100 employs a detection field 122 having a depth of approximately one and a half meters and a width of approximately three-tenths of a meter. The detection field 122 may be generally rectangular, or may resemble a truncated cone, with the embodiment at the smallest portion of the truncated cone. The depth of the detection field may be referred to as the field's “depth threshold.”
Although the embodiment 100 may employ a relatively deep detection field 122, many embodiments may limit the depth of the field in order to reduce activations caused by people passing by the embodiment (and thus through the field) without intending to actually approach or use the embodiment or related device. By limiting the depth of the field, false positives caused by reflection and detection of the emitted beams 120 may likewise be reduced. One exemplary method to limit the depth of field 122 is discussed in more detail below.
As shown in
As with the emitter 110, the detector 115 includes a lens. Here, however, the emitter lens 155 focuses all infrared beams 125 entering the lens to one of the sensors 150. The sensor to which the beam is focused depends in part on the beam's entry angle φ 160. Beams with entry angles within a first range will be focused to the first sensor, within a second range to the second sensor, and so on. The range of the entry angle φ 160 corresponding to each sensor 150 is determined by the physical properties of the lens 155, as known to those skilled in the art. Accordingly, different lenses 155 may be selected for use in different embodiments, and may be chosen at least in part based on the configuration of the sensors 150 in the detector 115.
As with the exit angle 140, the entry angle φ 160 typically varies between 30° and 30° in ten degree increments. Alternative embodiments may change the range of entry angles available, the incrementation thereof, or both.
The general operation of the embodiment 100 will now be described. The emitter 110 projects the infrared beam 125 in a pulse train, cycling through each of the LEDs 130. By employing a pulse train, the embodiment 100 may assure that infrared beams 120 emitted by the LEDs 130 do not interfere with one another, which may cause scattering, diffusion, and an inability to be reflected to the detector 115. In one embodiment of the present invention, the emitter fires the LEDs in a twelve-pulse train at about 200 kilohertz.
The detector 115 receives a beam 125 or beams reflected from an object 165 within the detection field 122 at one of the sensors. (Alternative embodiments may receive a reflected beam at multiple sensors by varying the focusing lens' physical properties, or by varying the distance between the focusing lens 155 and sensor array.) The detector receives the beam, demodulates it, and stores the data on the detected beam. Typically, the stored data will include a signal/beam's angle of exit θ 140 and angle of entry φ 160. For reference, stored data with these parameters may be referred to as “signal (θ,φ).” The signal data may be stored, for example, in a memory or on a computer-readable medium. The embodiment 100 employs synchronous demodulation, as known in the art, to screen noise and determine the actual signal received. Insofar as synchronous demodulation is a commonly-known technique, this paper provides no further discussion thereof.
As previously mentioned, it may be advantageous to limit the field of detection for the present embodiment 100. One manner of limiting the field 122 involves determining a minimum angle of reflection 170 for which a body will be considered within the field. As shown in
For every received signal 125, an angle of exit θ 140 and angle of entry φ 160 exist. As previously mentioned, these angles are detected by the sensors 150 and stored with the signal data. Given the angles, the angle of reflection β 170 may be determined. (See
The angle of reflection 170 may be used to determine whether the object 165 from which the beam 125 is reflected is within the depth field 122. (The infrared beams, in many cases, may project further than the desired depth field, permitting reflection from targets that are actually outside the desired depth field.) A minimum acceptable reflection angle β 175 may be calculated by the embodiment 100, based on the distance between the emitter 110 and detector 115 (i.e., width of the detection field) and desired depth of the detection field 122. Generally, the minimum acceptable angle β 175 will occur when the infrared beam 125 emitted by the emitter 110 strikes the opposite corner at the maximum depth of the detection field 122. This minimum acceptable angle is related to the depth threshold for the embodiment. In
To elaborate, presume the parameters of the detection field 122 are a width of 0.3 meters and a maximum depth threshold of 1.5 meters, as discussed above. Thus, the minimum acceptable reflection angle β2 175 would equal the arctangent of the width divided by the depth. In mathematical terms:
or β2 equals approximately eleven degrees. Accordingly, an angle of reflection 170 less than eleven degrees indicates a reflection from an object 165 outside the desired depth of the detection field 122, while an angle of reflection greater than (or equal to) eleven degrees indicates a reflection of an infrared beam 125 from an object within the desired depth of the detection field. In this manner, the embodiment 100 may treat any beam reflected by an object outside the desired depth of the detection field as a false positive. Essentially, such reflected beams are ignored.
By limiting the maximum depth of the detection field 122 as described above, the embodiment 100 may prevent false activations of the related device 105 due to background movement. It should be noted that certain embodiments may conservatively estimate the minimum angle of reflection 175. Such embodiments may, for example, reduce the minimum allowable angle of reflection, thus effectively extending or “padding” the depth of the detection field. Continuing the example above, an embodiment may determine the minimum angle of reflection 175 to be eleven degrees, but only ignore reflected beams 125 having an angle of reflection 170 less than nine degrees.
Although detection of objects within the detection field 122 and within the desired depth is useful, such detection may not suffice alone. For example, an emitted infrared beam 125 may reflect off a chair or other piece of furniture, a plant, or another stationary object 165 within the detection field and inside the depth threshold. Accordingly, it may be useful to provide some form of motion detection to screen out beams 125 reflected from stationary objects 165. In such an embodiment, the related device 105 will not wake, or perform any triggered function, unless both the depth threshold and motion detection tests are satisfied.
A variety of motion detection schemes may be used. For example, one or more sensors 150 may look for the reflected beam 125 to intermittently appear and/or disappear, such that the signal from the beam is not continuous. An interrupted or intermittent signal generally corresponds to a reflection from an object 165 that is not constantly in a single position.
Similarly, the embodiment 100 may determine whether a reflected signal is passed from one sensor 150 to another, either an adjacent or non-adjacent sensor. Where the reflected beam is detected sequentially by multiple sensors, it may correspond to an object moving through the detection field 122.
As yet another option, the embodiment 100 may determine if a signal from a reflected beam 125 undergoes changes for at least a minimum period of time. In this manner, the embodiment 100 may acknowledge only signals received by the sensor 150 that continue to change for at least the minimum time, thus screening signals caused by reflections from objects 165 (including people) only briefly within the detection field 122 or immobile objects. Objects that only briefly occupy a volume within the detection field typically do not represent a person approaching the related device 105, and thus should not actuate the device.
In one embodiment, the embodiment 100 may employ a lowpass filter to determine motion. For any reflected beam 125 having an angle of reflection 170 greater than the minimum angle of reflection, the embodiment may subject the corresponding signal to a lowpass filter. For example, an infinite impulse response filter may be employed to calculate a filter value for the signal, as follows:
Filtered signal (θ,φ)=[(1/n)(signal (θ,φ))]+[((n−1)/n)(filtered signal (θ,φ)]
The filtered signal value is calculated from the stored signal data, including the related exit angle 140 and entry angle 160. Such a response filter acts as a lowpass filter, permitting only signal values below a threshold to pass. Given the value of the filtered signal, the embodiment may determine if the absolute value of the difference between the signal (θ,φ) and filtered signal (θ,φ) exceeds a threshold constant K. The constant K represents the minimum duration, in seconds, during which the signal must undergo some change in signal strength at the region of interest, or reflecting body. In one embodiment, K equals three seconds. Alternative embodiments may vary the constant K as desired.
If the aforementioned absolute value exceeds or equals K, the embodiment 100 may determine the reflecting object 165 constitutes a presence, and actuate the related device 105. If the absolute value is less than K, then the embodiment may determine the reflecting object does not constitute a presence, in which case the related device is not actuated and the reflected beam is ignored.
Further, the embodiment 100 may optionally compare current values of stored signals and/or reflected beam data to historical signals and/or reflected beam data. By comparing current signal data (such as angles of reflection 170 or other angles, filtered signal values, and so forth) to stored signal data previously determined to indicate a presence, the embodiment 100 may determine whether the current signal data indicates a presence. The embodiment may employ such historical analysis in addition to, or in lieu of, the motion detection and/or object detection operations discussed herein.
In operation 920, the reflected beam 125 is demodulated by the embodiment 100 and its signal data (including the exit 140 and entry 160 angles) stored. In operation 930, the exit and entry angles are employed, as described above, to determine the beam's angle of reflection β 170.
Once the angle of reflection β 170 is known, the embodiment 100 may determine in operation 940 whether the angle of reflection β exceeds the minimum angle of reflection 175. If so, then the object 165 reflecting the beam 125 is within the depth threshold of the detection field 122, and operation 960 is accessed. Otherwise, the reflecting object is too far away and the reflected beam is ignored in operation 950.
Following operation 950, the embodiment 100 returns to operation 900 and emits another beam 125 from at least one LED 130 in the emitter 110. Typically, the LED from which a beam is emitted in a subsequent iteration of operation 900 is the LED adjacent to the one employed in the immediately-finished iteration of the method of
In operation 960, the embodiment 100 determines whether the signal (or reflected beam 125) has undergone a change of state for a sufficient time. The exact manner for making such a determination is discussed above. If the signal's change exceeds the threshold time K, then operation 970 is accessed. Otherwise, the embodiment executes operation 950, as discussed above.
In operation 970, the embodiment 100, having detected a presence, activates the related device 105. This activation may take many forms, from turning the device on to instructing the device to perform a function, to accessing information stored in the device, and so on. As an example, the embodiment 100 may wake the related device 105 from an inactive (“sleep”) mode, powering up the device to an active state.
Following operation 970, the method of
The various operations described with respect to
6. Operating Environment
Embodiments of the present invention may be operationally connected to, or incorporated within, any of a variety of electronic devices (including related devices 105). For example,
Yet other embodiments may be incorporated into different computing systems, such as desktop computers. Still other embodiments may be incorporated into a variety of other electronic devices, such as televisions, computer monitors, stereo equipment, appliances, and so forth.
Various embodiments of the present invention may be assembled as one or more integrated circuits incorporated into the operating environment. Further, components of the invention, such as the emitter and/or detector, may take the form of dedicated circuitry.
7. Additional Functionality
As may be appreciated by those skilled in the art, the present invention may be combined with other features or functions to provide enhanced value when incorporated into a related device 105. For example, the detector 115 may be used not only to determine a presence by receiving a reflected beam 125 as described above, but also to receive infrared control signals from a remote control.
In yet other embodiments, the detector 115 (or, for that matter, the emitter 110) may double as an ambient light detector. Many electronic devices, including notebook computers, employ an ambient light detector to adjust the brightness of a display to local light levels. A photosensitive chip may be masked such that a first portion of the chip's pixels, photodiodes, or other sensors 150 are sensitive to infrared light and a second portion of the chip's sensors are sensitive to visible light. The infrared-sensitive sensors may function to receive reflected signals 125, while the visible light-sensitive sensors may function to detect ambient light. The chip may be masked with two different optical filters to create the desired sensitivities. In some embodiments, one or more sensors 150 may not be optically masked at all.
In yet another embodiment, the detector 115 may simultaneously function as a camera for videoconferencing. In the manner discussed above, a first set of sensors 150 may be masked to function as a video camera, while a second set of sensors is masked to detect reflected infrared beams.
In still another embodiment, the infrared beam 125 emitted by the LEDs 130 may be modulated (and later demodulated) with a wave of a known frequency and phase in such a manner as to provide depth mapping of the object reflecting the beam. Thus, the detector may serve not only to determine a presence, but also to provide and/or reconstruct a three-dimensional depth map of the object.
By incorporating such additional functionality into the emitter 110 and/or detector 115 of the present invention, the number of openings or ports provided in the related device 105 may be minimized. Further, the incorporation of multiple functions into a single chip or array may minimize the overall footprint necessary to perform such functions, as compared to devices employing dedicated elements for each function. Where space is at a premium, as in notebook computers, such spatial minimization may be valuable.
Although the present embodiment has been described with reference to particular methods and apparatuses, it should be understood that such methods and apparatuses are merely exemplary. Accordingly, the proper scope of the present invention is defined by the appended claims, and those of ordinary skill in the art will be able to conceive of variations on the methods and apparatuses set forth herein without departing from the spirit or scope of the present invention.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US4115865||Apr 6, 1977||Sep 19, 1978||Thomson-Csf||High-speed correlating device|
|US4449193||Apr 23, 1981||May 15, 1984||Thomson-Csf||Bidimensional correlation device|
|US4484346||Apr 28, 1983||Nov 20, 1984||Sternberg Stanley R||Neighborhood transformation logic circuitry for an image analyzer system|
|US4532606||Jul 14, 1983||Jul 30, 1985||Burroughs Corporation||Content addressable memory cell with shift capability|
|US4559618||Sep 13, 1982||Dec 17, 1985||Data General Corp.||Content-addressable memory module with associative clear|
|US4564952||Dec 8, 1983||Jan 14, 1986||At&T Bell Laboratories||Compensation of filter symbol interference by adaptive estimation of received symbol sequences|
|US4581760||Sep 13, 1983||Apr 8, 1986||Fingermatrix, Inc.||Fingerprint verification method|
|US4594673||Jun 28, 1983||Jun 10, 1986||Gti Corporation||Hidden surface processor|
|US4622653||Oct 29, 1984||Nov 11, 1986||Texas Instruments Incorporated||Block associative memory|
|US4669054||May 3, 1985||May 26, 1987||General Dynamics, Pomona Division||Device and method for optically correlating a pair of images|
|US4670858||Jun 7, 1983||Jun 2, 1987||Tektronix, Inc.||High storage capacity associative memory|
|US4694404||Jan 12, 1984||Sep 15, 1987||Key Bank N.A.||High-speed image generation of complex solid objects using octree encoding|
|US4695973||Oct 22, 1985||Sep 22, 1987||The United States Of America As Represented By The Secretary Of The Air Force||Real-time programmable optical correlator|
|US4758982||Jan 8, 1986||Jul 19, 1988||Advanced Micro Devices, Inc.||Quasi content addressable memory|
|US4783829||Feb 22, 1984||Nov 8, 1988||Hitachi, Ltd.||Pattern recognition apparatus|
|US4794559||Jul 5, 1984||Dec 27, 1988||American Telephone And Telegraph Company, At&T Bell Laboratories||Content addressable semiconductor memory arrays|
|US4825391||Jul 20, 1987||Apr 25, 1989||General Electric Company||Depth buffer priority processing for real time computer image generating systems|
|US4841467||Oct 5, 1987||Jun 20, 1989||General Electric Company||Architecture to implement floating point multiply/accumulate operations|
|US4847789||Jul 7, 1986||Jul 11, 1989||International Business Machines Corporation||Method for hidden line removal|
|US4888583||Mar 14, 1988||Dec 19, 1989||Ligocki Terry J||Method and apparatus for rendering an image from data arranged in a constructive solid geometry format|
|US4888712||Nov 4, 1987||Dec 19, 1989||Schlumberger Systems, Inc.||Guardband clipping method and apparatus for 3-D graphics display system|
|US4890242||Feb 9, 1989||Dec 26, 1989||Xox Corporation||Solid-modeling system using topology directed subdivision for determination of surface intersections|
|US4945500||Nov 20, 1989||Jul 31, 1990||Schlumberger Technologies, Inc.||Triangle processor for 3-D graphics display system|
|US4961581||Oct 11, 1988||Oct 9, 1990||Rotation Limited||Apparatus for playing a game|
|US4970636||Jan 23, 1989||Nov 13, 1990||Honeywell Inc.||Memory interface controller|
|US4996666||Aug 12, 1988||Feb 26, 1991||Duluk Jr Jerome F||Content-addressable memory system capable of fully parallel magnitude comparisons|
|US4998286||Jan 20, 1988||Mar 5, 1991||Olympus Optical Co., Ltd.||Correlation operational apparatus for multi-dimensional images|
|US5031038||Apr 18, 1990||Jul 9, 1991||Etat Francais (Cnet)||Process and device for the compression of image data by mathematical transformation effected at low cost, particularly for the transmission at a reduced rate of sequences of images|
|US5040223||Feb 17, 1989||Aug 13, 1991||Nippondenso Co., Ltd.||Fingerprint verification method employing plural correlation judgement levels and sequential judgement stages|
|US5050220||Jul 24, 1990||Sep 17, 1991||The United States Of America As Represented By The Secretary Of The Navy||Optical fingerprint correlator|
|US5054090||Jul 20, 1990||Oct 1, 1991||Knight Arnold W||Fingerprint correlation system with parallel FIFO processor|
|US5067162||Jun 30, 1986||Nov 19, 1991||Identix Incorporated||Method and apparatus for verifying identity using image correlation|
|US5083287||Jul 14, 1989||Jan 21, 1992||Daikin Industries, Inc.||Method and apparatus for applying a shadowing operation to figures to be drawn for displaying on crt-display|
|US5123084||Dec 21, 1990||Jun 16, 1992||General Electric Cgr S.A.||Method for the 3d display of octree-encoded objects and device for the application of this method|
|US5123085||Mar 19, 1990||Jun 16, 1992||Sun Microsystems, Inc.||Method and apparatus for rendering anti-aliased polygons|
|US5128888||Apr 2, 1990||Jul 7, 1992||Advanced Micro Devices, Inc.||Arithmetic unit having multiple accumulators|
|US5129051||Mar 16, 1990||Jul 7, 1992||Hewlett-Packard Company||Decomposition of arbitrary polygons into trapezoids|
|US5129060||Jan 24, 1989||Jul 7, 1992||Visual Information Technologies, Inc.||High speed image processing computer|
|US5133052||Aug 4, 1988||Jul 21, 1992||Xerox Corporation||Interactive graphical search and replace utility for computer-resident synthetic graphic image editors|
|US5146592||Jan 24, 1989||Sep 8, 1992||Visual Information Technologies, Inc.||High speed image processing computer with overlapping windows-div|
|US5189712||Jul 17, 1991||Feb 23, 1993||Mitsubishi Denki K.K.||Correlation detector for images|
|US5245700||Nov 21, 1989||Sep 14, 1993||International Business Machines Corporation||Adjustment of z-buffer values for lines on the surface of a polygon|
|US5247586||Dec 12, 1991||Sep 21, 1993||U.S. Philips Corporation||Correlator device|
|US5265222||Nov 23, 1990||Nov 23, 1993||Hitachi, Ltd.||Symbolization apparatus and process control system and control support system using the same apparatus|
|US5278948||Aug 21, 1992||Jan 11, 1994||International Business Machines Corporation||Parametric surface evaluation method and apparatus for a computer graphics display system|
|US5289567||Apr 1, 1991||Feb 22, 1994||Digital Equipment Corporation||Computer apparatus and method for finite element identification in interactive modeling|
|US5293467||Apr 3, 1991||Mar 8, 1994||Buchner Gregory C||Method for resolving priority between a calligraphically-displayed point feature and both raster-displayed faces and other calligraphically-displayed point features in a CIG system|
|US5295235||Feb 14, 1992||Mar 15, 1994||Steve Newman||Polygon engine for updating computer graphic display employing compressed bit map data|
|US5299139||Jun 21, 1991||Mar 29, 1994||Cadence Design Systems, Inc.||Short locator method|
|US5315537||Apr 8, 1991||May 24, 1994||Blacker Teddy D||Automated quadrilateral surface discretization method and apparatus usable to generate mesh in a finite element analysis system|
|US5319743||Apr 2, 1992||Jun 7, 1994||Digital Equipment Corporation||Intelligent and compact bucketing method for region queries in two-dimensional space|
|US5338200||Apr 15, 1991||Aug 16, 1994||Rediffusion Simulation Limited||Method and apparatus for generating an elliptical image|
|US5343284 *||Oct 22, 1992||Aug 30, 1994||Kaman Aerospace Corporation||Imaging lidar system employing bistatic operation|
|US5347619||Apr 30, 1991||Sep 13, 1994||International Business Machines Corporation||Nonconvex polygon identifier|
|US5363475||Dec 5, 1989||Nov 8, 1994||Rediffusion Simulation Limited||Image generator for generating perspective views from data defining a model having opaque and translucent features|
|US5369734||May 16, 1991||Nov 29, 1994||Kabushiki Kaisha Toshiba||Method for processing and displaying hidden-line graphic images|
|US5394516||Jun 28, 1991||Feb 28, 1995||U.S. Philips Corporation||Generating an image|
|US5402532||Sep 30, 1994||Mar 28, 1995||International Business Machines Corporation||Direct display of CSG expression by use of depth buffers|
|US5448690||Feb 17, 1994||Sep 5, 1995||Ricoh Company, Ltd.||Image processing system enabling real-time output of image signal based on polygon image information|
|US5455900||Oct 14, 1993||Oct 3, 1995||Ricoh Company, Ltd.||Image processing apparatus|
|US5481669||Feb 6, 1995||Jan 2, 1996||The University Of North Carolina At Chapel Hill||Architecture and apparatus for image generation utilizing enhanced memory devices|
|US5493644||Jul 11, 1991||Feb 20, 1996||Hewlett-Packard Company||Polygon span interpolator with main memory Z buffer|
|US5509110||Apr 26, 1993||Apr 16, 1996||Loral Aerospace Corporation||Method for tree-structured hierarchical occlusion in image generators|
|US5535288||Feb 10, 1995||Jul 9, 1996||Silicon Engines, Inc.||System and method for cross correlation with application to video motion vector estimator|
|US5544306||May 3, 1994||Aug 6, 1996||Sun Microsystems, Inc.||Flexible dram access in a frame buffer memory and system|
|US5546194||Mar 23, 1994||Aug 13, 1996||Videofaxx, Inc.||Method and apparatus for converting a video image format to a group III fax format|
|US5572634||Oct 26, 1994||Nov 5, 1996||Silicon Engines, Inc.||Method and apparatus for spatial simulation acceleration|
|US5574835||Nov 2, 1995||Nov 12, 1996||Silicon Engines, Inc.||Bounding box and projections detection of hidden polygons in three-dimensional spatial databases|
|US5574836||Jan 22, 1996||Nov 12, 1996||Broemmelsiek; Raymond M.||Interactive display apparatus and method with viewer position compensation|
|US5579455||Jul 30, 1993||Nov 26, 1996||Apple Computer, Inc.||Rendering of 3D scenes on a display using hierarchical z-buffer visibility|
|US5596686||Apr 21, 1994||Jan 21, 1997||Silicon Engines, Inc.||Method and apparatus for simultaneous parallel query graphics rendering Z-coordinate buffer|
|US5613050||Jun 5, 1995||Mar 18, 1997||International Business Machines Corporation||Method and apparatus for reducing illumination calculations through efficient visibility determination|
|US5621866||Jul 22, 1993||Apr 15, 1997||Fujitsu Limited||Image processing apparatus having improved frame buffer with Z buffer and SAM port|
|US5623628||Mar 2, 1994||Apr 22, 1997||Intel Corporation||Computer system and method for maintaining memory consistency in a pipelined, non-blocking caching bus request queue|
|US5664071||Dec 15, 1994||Sep 2, 1997||Kabushiki Kaisha Toshiba||Graphics plotting apparatus and method|
|US5669010||Mar 6, 1996||Sep 16, 1997||Silicon Engines||Cascaded two-stage computational SIMD engine having multi-port memory and multiple arithmetic units|
|US5684939||Aug 8, 1996||Nov 4, 1997||Silicon Graphics, Inc.||Antialiased imaging with improved pixel supersampling|
|US5699497||Mar 11, 1996||Dec 16, 1997||Evans & Sutherland Computer Corporation||Rendering global macro texture, for producing a dynamic image, as on computer generated terrain, seen from a moving viewpoint|
|US5710876||May 25, 1995||Jan 20, 1998||Silicon Graphics, Inc.||Computer graphics system for rendering images using full spectral illumination data|
|US5734806||Jun 21, 1996||Mar 31, 1998||International Business Machines Corporation||Method and apparatus for determining graphical object visibility|
|US5751291||Jul 26, 1996||May 12, 1998||Hewlett-Packard Company||System and method for accelerated occlusion culling|
|US5767589||Sep 3, 1996||Jun 16, 1998||Maximum Products Inc.||Lighting control circuit for vehicle brake light/tail light/indicator light assembly|
|US5767859||Sep 28, 1995||Jun 16, 1998||Hewlett-Packard Company||Method and apparatus for clipping non-planar polygons|
|US5778245||Mar 1, 1994||Jul 7, 1998||Intel Corporation||Method and apparatus for dynamic allocation of multiple buffers in a processor|
|US5798770||May 1, 1996||Aug 25, 1998||3Dlabs Inc. Ltd.||Graphics rendering system with reconfigurable pipeline sequence|
|US5828378||May 31, 1996||Oct 27, 1998||Ricoh Company, Ltd.||Three dimensional graphics processing apparatus processing ordinary and special objects|
|US5841447||Aug 2, 1995||Nov 24, 1998||Evans & Sutherland Computer Corporation||System and method for improving pixel update performance|
|US5850225||Jan 24, 1996||Dec 15, 1998||Evans & Sutherland Computer Corp.||Image mapping system and process using panel shear transforms|
|US5852451||Jan 9, 1997||Dec 22, 1998||S3 Incorporation||Pixel reordering for improved texture mapping|
|US5854631||Nov 22, 1995||Dec 29, 1998||Silicon Graphics, Inc.||System and method for merging pixel fragments based on depth range values|
|US5860158||Nov 15, 1996||Jan 12, 1999||Samsung Electronics Company, Ltd.||Cache control unit with a cache request transaction-oriented protocol|
|US5864342||Jun 27, 1996||Jan 26, 1999||Microsoft Corporation||Method and system for rendering graphical objects to image chunks|
|US5870095||Aug 19, 1993||Feb 9, 1999||International Business Machines Corporation||Z buffer initialize and update method for pixel block|
|US5880736||Jun 20, 1997||Mar 9, 1999||Silicon Graphics, Inc.||Method system and computer program product for shading|
|US5889997||May 30, 1997||Mar 30, 1999||Hewlett-Packard Company||Assembler system and method for a geometry accelerator|
|US5900863 *||Mar 13, 1996||May 4, 1999||Kabushiki Kaisha Toshiba||Method and apparatus for controlling computer without touching input device|
|US5920326||May 30, 1997||Jul 6, 1999||Hewlett Packard Company||Caching and coherency control of multiple geometry accelerators in a computer graphics system|
|US5936629||Nov 20, 1996||Aug 10, 1999||International Business Machines Corporation||Accelerated single source 3D lighting mechanism|
|US5949424||Feb 28, 1997||Sep 7, 1999||Silicon Graphics, Inc.||Method, system, and computer program product for bump mapping in tangent space|
|US5949428||Jun 27, 1996||Sep 7, 1999||Microsoft Corporation||Method and apparatus for resolving pixel data in a graphics rendering system|
|US6031600 *||Feb 6, 1997||Feb 29, 2000||Robert Bosch Gmbh||Method for determining the position of an object|
|US6037970 *||Apr 2, 1997||Mar 14, 2000||Sony Corporation||Videoconference system and method therefor|
|US6125972 *||Feb 20, 1998||Oct 3, 2000||Carttronics Llc||Security apparatus and method for shopping carts and the like|
|US6130663 *||Jul 31, 1997||Oct 10, 2000||Null; Nathan D.||Touchless input method and apparatus|
|US6313825 *||Dec 28, 1998||Nov 6, 2001||Gateway, Inc.||Virtual input device|
|US7113174 *||Aug 31, 2000||Sep 26, 2006||Ricoh Company, Ltd.||Coordinate inputting/detecting apparatus and method designed to avoid a trailing phenomenon|
|US20030227635 *||May 15, 2003||Dec 11, 2003||Hera Rotterdam B.V.||Device and method for the optical detection of objects|
|US20040128571 *||Oct 23, 2003||Jul 1, 2004||Saunders Scott P.||Handling of multiple compliant and non-compliant wake-up sources in a computer system|
|US20050033571 *||Aug 7, 2003||Feb 10, 2005||Microsoft Corporation||Head mounted multi-sensory audio input system|
|US20050078462 *||Oct 10, 2003||Apr 14, 2005||Micron Technology, Inc.||Laser assisted material deposition|
|US20050216148 *||Mar 26, 2004||Sep 29, 2005||Min Byung W||Method and system for preventing erroneous starting of a vehicle having a manual transmission|
|US20050251294 *||Mar 4, 2005||Nov 10, 2005||John Cerwin||Electronic Alignment System|
|US20070121102 *||Jan 29, 2007||May 31, 2007||Apple Computer, Inc.||Positioning a first surface in a pre-determined position relative to a second surface|
|USRE36145||Nov 16, 1995||Mar 16, 1999||Optigraphics Corporation||System for managing tiled images using multiple resolutions|
|1||Akeley, K., "RealityEngine Graphics", Computer Graphics Proceedings, Annual Conference Series, pp. 109-116, Aug. 1-6, 1993.|
|2||Angel, E., "Interactive Computer Graphics: A Top-Down Approach with OpenG1", ISBN: 0201855712, Addison-Wesley, pp. 241, 242, 277 and 278, 1997.|
|3||Carpenter, L., "The A-buffer, An Antialaised Hidden Surface Method", Computer Graphics, vol. 18, No. 3, pp. 103-108, Jul. 1984.|
|4||Clark et al., "Distributed Proc in High Performance Smart Image Memory", LAMDA 4th Quarter, pp. 40-45, Oct. 1990.|
|5||Clark, J., "Hierarchical Geometric Models for Visible Surface Algorithms", Communications of the ACM, vol. 19, No. 10, pp. 547-554, Oct. 1976.|
|6||Cook et al., "The Reyes Image Rendering Architecture", Computer Graphics, vol. 21, No. 4, pp. 95-102, Jul. 1987.|
|7||Das et al., "A systolic algorithm for hidden surface removal", Parallel Computing, vol. 15, pp. 277-289, 1990.|
|8||Deering et al., "Leo: A System for Cost Effective 3D Shaded Graphics", Computer Graphics Proceedings, Annual Conference Series, pp. 101-108, Aug. 1-6, 1993.|
|9||Demetrescu S., "High Speed Image Rasterization Using a Highly Parallel Smart Bulk Memory", Stanford Tech Report, pp. 83-244, Jun. 1983.|
|10||Demetrescu, S., "High Speed Image Rasterization Using Scan Line Access Memories", Chapel Hill Conference on VLSI, pp. 221-243, 1985.|
|11||Duluk et al., "VLSI Processors for Signal Detection in SETI", Presented at XXXVIIth International Astronautical Congress, Innsbruck, Austria, Oct. 4-11, 1986.|
|12||Foley et al., "Computer Graphics: Principles and Practice", Addison-Wesley Professional, Second Edition, 1990.|
|13||Franklin et al., "Parallel Object-Space Hidden Surface Removal", Computer Graphics, vol. 24, No. 4, pp. 87-94, Aug. 1990.|
|14||Franklin, W., "A Linear Time Exact Hidden Surface Algorithm", Computer Graphics, pp. 117-123, Jul. 1980.|
|15||Fuchs et al., "Pixel-Planes 5: A Heterogeneous Multiprocessor Graphics System Using Processor-Enhanced Memories", Computer Graphics, vol. 23, No. 3, pp. 79-88, Jul. 1989.|
|16||Gharachorloo et al., "A Characterization of Ten Rasterization Techniques", Computer Graphics, vol. 23, No. 3, pp. 355-368, Jul. 1989.|
|17||Gharachorloo et al., "A Million Transistor Systolic Array Graphics Engine", Proceedings of the International Conference on Systolic Arrays, San Diego, CA, pp. 193-202, May 25-27, 1988.|
|18||Gharachorloo et al., "Subnanosecond Pixel Rendering with Million Transistor Chips", Computer Graphics, vol. 22, No. 4, pp. 41-49, Aug. 1988.|
|19||Gharachorloo et al., "Super Buffer: A Systolic VLSI Graphics Engine for Real Time Raster Image Generation", Chapel Hill Conference on VLSI, Computer Science Press, pp. 285-305, 1985.|
|20||Goris et al., "A Configurable Pixel Cache for Fast Image Generation", IEEE Computer Graphics & Applications, Mar. 1987.|
|21||Greene et al., "Hierarchial Z-Buffer Visibility", Computer Graphics Proceedings, Annual Conference Series, pp. 231-238, Aug. 1-6, 1993.|
|22||Gupta et al., "A VLSI Architecture for Updating Raster-Scan Displays", Computer Graphics, vol. 15, No. 3, pp. 71-78, Aug. 1981.|
|23||Gupta, S., "PS: Polygon Streams, A Distributed Architecture for Incremental Computation Applied to Graphics", Advances in Computer Graphics Hardware IV, ISBN 0387534733, Springer-Verlag, pp. 91-111, May 1, 1991.|
|24||Hall, E., "Computer Image Processing and Recognition", Academic Press, pp. 468-484, 1979.|
|25||Hu et al., "Parallel Processing Approaches to Hidden-Surface Removal in Image Space", Computer and Graphics, vol. 9, No. 3, pp. 303-317, 1985.|
|26||Hubbard, P., "Interactive Collision Detection", Brown University, ACM SIGGRAPH 94, Course 2, Jul. 24-29, 1994.|
|27||Jackel, D. "The Graphics PARCUM System: A 3D Memory Based Computer Architecture for Processing and Display of Solid Models", Computer Graphics Forum, vol. 4, pp. 21-32, 1985.|
|28||Kaplan et al., "Parallel Processing Techniques for Hidden Surface Removal" SIGGRAPH 1979 Conference Proceedings, p. 300.|
|29||Kaufman, A., "A Two-Dimensional Frame Buffer Processor", Advances in Com. Graphics Hardware II, ISBN 0-387-50109-6, Springer-Verlag, pp. 67-83.|
|30||Lathrop, "The Way Computer Graphics Work", Chapter 7: Rendering (converting a scene to pixels), Wiley Computer Publishing, John Wiley & Sons, Inc., pp. 93-150, 1997.|
|31||Linscott et al., "Artificial Signal Detectors," Bioastronomy-The Next Steps, pp. 319-355, 1988.|
|32||Linscott et al., "Artificial Signal Detectors," International Astronomical Union Colloquium No. 99, Lake Balaton, Hungary, Stanford Universtiy, Jun. 15, 1987.|
|33||Linscott et al., "The MCSA II-A Broadband, High Resolution, 60 Mchannel Spectrometer," Nov. 1990.|
|34||Naylor, B., "Binary Space Partitioning Trees, A Tutorial", (included in the course notes Computational Representations of Geometry), Course 23, ACM SIGGRAPH 94, Jul. 24-29, 1994.|
|35||Nishizawa et al., "A Hidden Surface Processor for 3-Dimension Graphics", IEEE, ISSCC, pp. 166-167 and 351, 1988.|
|36||Ohhashi et al., "A 32b 3-D Graphics Processor Chip with 10M Pixels/s Gouraud Shading", IEEE, ISSCC, pp. 168-169 and 351, 1988.|
|37||Oldfield et al., "Content Addressable Memories for Storing and Processing Recursively Subdivided Images and Trees", Electronics Letters, vol. 23, No. 6, pp. 262-263, Mar. 1987.|
|38||Parke, F., "Simulation and Expected Performance of Multiple Processor Z-Buffer Systems", SIGGRAPH '80 Conference Proceedings, pp. 48-56, 1980.|
|39||Peercy, et al., "Efficient Bump Mapping Hardware", Computer Graphics Proceedings, Annual Conference Series, pp. 303-306, Aug. 3-8, 1997.|
|40||Pineda, J., "A Parallel Algorithm for Polygon Rasterization", SIGGRAPH 1988 Conference Proceedings, Aug. 1988.|
|41||Potmesil et al., "The Pixel Machine: A Highly Parallel Image Computer", Computer Graphics, vol. 23, No. 3, pp. 69-78, Jul. 1989.|
|42||Poulton et al. "Pixel-Planes: Building a VLSI-Based Graphic System", Chapel Hill Conference on VLSI, Computer Science Press, Inc., pp. 35-60, 1985.|
|43||Rao et al., "Discrete Cosine Transform: Algorithms, Advantages, Applications," Academic Press, Inc., pp. 242-247, 1990.|
|44||Rossignac et al., "Depth-Buffering Display Techniques for Constructive Solid Geometry", IEEE, Computer Graphics & Applications, pp. 29-39, Sep. 1986.|
|45||Samet et al., "Data Structures 59: Hierarchical Data Structures and Algorithms for Computer Graphics", IEEE, Computer Graphics & Applications, pp. 59-75, Jul. 1988.|
|46||Schilling et al., "Texram: a Smart Memory for Texturing", IEEE, Computer Graphics and Applications, pp. 32-41, May 1996.|
|47||Schneider et al., "Advances In Computer Graphics Hardware III", Chapter 9, Proof: An Architecture for Rendering in Object Space, ISBN 0387534881, Springer-Verlag, pp. 67-83, Jun. 1, 1991.|
|48||Schneider, B., "Towards A Taxonomy for Display Processors", Advances in Computer Graphics Hardware IV, ISBN 0387534733, Springer-Verlag, pp. 91-111, May 1, 1991.|
|49||Segal, "Hardware sorting chip steps up software pace", Electronic Design, vol. 34, No. 15, pp. 85-91, Jun. 26, 1986.|
|50||Shepard et al., "Real-time Hidden Surface Removal in a Flight Simulator", Proceedings of the Pacific Rim Conference on Communications, Compute and Signal Processing, Victoria, CA, pp. 607-610, May 9-10, 1991.|
|51||Soderberg et al., "Image Generation Design for Ground-Based Network Training Environments", International Training Equipment Conference, London, May 4-6, 1993.|
|52||Sutherland et al., "A Characterization of ten Hidden-Surface Algorithms" Computing Surveys, vol. 6, No. 1, pp. 1-55, Mar. 1974.|
|53||Torborg, G., "A Parallel Processor Architecture for Graphics Arithmetic Operations", Computer Graphics, vol. 21, No. 4,, pp. 197-204, Jul. 1987.|
|54||Warnock, "A Hidden Surface Algorithm for Computer Generated Halftone Pictures", Univerity of Utah Doctoral Thesis, 1969.|
|55||Watt, 3D Computer Graphics, "Chapter 4: Reflection and Illumination Models", 2nd Edition, Addison-Wesley, pp. 89-126, 1993.|
|56||Weiler et al., "Hidden Surface Removal Using Polygon Area Sorting", vol. 11, No. 2, pp. 214-222, Jul. 1977.|
|57||Whelan, D., "A Rectangular Area Filling Display System Architecture", Computer Graphics, vol. 16, No. 3, pp. 147-153, Jul. 1982.|
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|US8830169||Mar 2, 2012||Sep 9, 2014||Apple Inc.||Methods and systems for providing sensory information to devices and peripherals|
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|US20090203440 *||Apr 23, 2007||Aug 13, 2009||Sony Computer Entertainment Inc.||Image processing method and input interface apparatus|
|US20100168765 *||Sep 23, 2009||Jul 1, 2010||Prosurgics Ltd.||Surgical mechanism control system|
|U.S. Classification||356/3.12, 356/28, 356/141.1, 356/152.2|
|Cooperative Classification||G01V8/20, G01S17/48, G01S17/026|
|European Classification||G01S17/48, G01V8/20, G01S17/02D|
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Owner name: APPLE COMPUTER, INC., CALIFORNIA
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